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Technical - Emerging CMR Methods - Motion Correcti ...
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Video Transcription
Video Summary
In this live Q&A, speakers discussed AI motion correction in MRI, including robustness to whole-body motion and heavy breathing, and the need for larger validation studies. They explained how tools can be shared via Siemens work-in-progress packages and app marketplaces for multicenter clinical translation. Other topics included 3T susceptibility artifacts, pilot tone versus biometrics for cardiac motion tracking, resolution choices in deep learning training, and concerns about overfitting across disease states. Overall, the panel emphasized promising results, but also the importance of broader testing and real-world clinical validation.
Keywords
AI motion correction
MRI validation
whole-body motion
Siemens work-in-progress packages
cardiac motion tracking
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